shield DeepfakeDetectionAPI
Free tool · No signup

Is this image
AI-generated?

Drop a photo on the right. Confidence score in ~400 ms — covers StyleGAN, Stable Diffusion, Midjourney, DALL·E, and edited regions.

JPEG · PNG · WebP · ≤ 50 MB · Not stored
Get an API key → Read the docs
image-classifier live
arrow_upload

Drop an image, or browse

JPEG · PNG · WebP · ≤ 50 MB

Or try a sample

~95%

Bench accuracy*

~400ms

Median p50

3fmts

JPEG · PNG · WebP

50free

No card required

*FaceForensics++ test split. Accuracy varies with image quality and generator. Methodology →

How It Works

1

Upload

Submit any JPEG, PNG, or WebP image through our API or the interactive demo above.

2

Analyze

Our ensemble neural network scans every pixel for GAN artifacts, diffusion model signatures, and manipulation patterns.

3

Results

Get a real/fake verdict with confidence score and detailed artifact report in under 2 seconds.

What We Detect

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GAN-Generated Faces

Identifies faces created by StyleGAN, ProGAN, and other generative adversarial networks by detecting telltale pixel-level artifacts invisible to the human eye.

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Diffusion Model Images

Detects images generated by Stable Diffusion, DALL-E, and Midjourney through noise pattern analysis.

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Face Swaps

Spots face-swapped images by analyzing boundary inconsistencies and blending artifacts.

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AI Upscaling Artifacts

Identifies hallucinated detail from AI upscalers that add synthetic texture to low-res images.

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Inpainting Modifications

Detects AI-edited regions where objects have been added, removed, or altered using inpainting tools.

Use Cases

public

Social Media Platforms

Automatically flag AI-generated profile photos and manipulated images before they spread misinformation.

Scan millions of uploads daily

1
newspaper

News & Journalism

Verify photo authenticity before publication. Protect editorial integrity with automated image forensics.

Trusted by newsrooms worldwide

2
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E-commerce

Detect AI-generated product photos and fake reviews with manipulated images. Maintain marketplace trust.

Protect buyer confidence

3

Easy Integration

Integration Benefits

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    Simple REST API

    Send an image URL or file via POST and get a JSON verdict in under 2 seconds.

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    Batch Processing

    Analyze thousands of images per minute with concurrent API calls and webhook callbacks.

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    Confidence Scoring

    Get a 0-100% confidence score with each detection for nuanced decision-making.

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    Multiple Formats

    Accept JPEG, PNG, and WebP images up to 50MB via file upload or URL.

Python Example

import requests

def detect_image(image_path):
    with open(image_path, 'rb') as f:
        files = {'image': f}
        response = requests.post(
            'https://deepfakedetectionapi.ai/api/detect',
            headers={'Authorization': 'Bearer YOUR_API_KEY'},
            files=files
        )
        return response.json()

result = detect_image('photo.jpg')
print(result['is_deepfake'], result['confidence'])

Frequently Asked Questions

/ ready to integrate

Stop guessing whether images are real.

Free API key with 50 image checks. POST an image, get a score. Wire it into fraud, KYC, or moderation in an afternoon.

Get a free API key → Read the docs